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Stack Finder: best line and PP1 stacks for Saturday, May 2

Every forward line and first power-play unit on the Saturday, May 2 slate, ranked by expected goals tonight against the opponent's defense, penalty kill and likely goalie. Top stack: CAR L2 (Hall–Stankoven–Blake) vs OTT.

Data updated:

Stacks with a player who is

Top 10 stacks

  1. #1CARL2vs OTT0.66 xG

    Taylor Hall25%, Logan Stankoven65%, Jackson Blake69%

    Matchup factors →
  2. #2CARL1vs OTT0.62 xG

    Sebastian Aho99%, Andrei Svechnikov97%, Seth Jarvis94%

    Matchup factors →
  3. #3PITL2vs PHI0.55 xG

    Evgeni Malkin86%, Tommy Novak37%, Egor Chinakhov50%

    Matchup factors →
  4. #4PITL1vs PHI0.53 xG

    Sidney Crosby100%, Bryan Rust83%, Rickard Rakell81%

    Matchup factors →
  5. #5ANAL1vs EDM0.53 xG

    Alex Killorn5.1%, Mikael Granlund52%, Beckett Sennecke95%

    Matchup factors →
  6. #6DALPP1vs MIN0.52 xG

    Matt Duchene58%, Mikko Rantanen99%, Jason Robertson100%, Miro Heiskanen99%, Wyatt Johnston100%

    Matchup factors →
  7. #7MINL2vs DAL0.52 xG

    Mats Zuccarello47%, Ryan Hartman36%, Kirill Kaprizov98%

    Matchup factors →
  8. #8EDML1vs ANA0.49 xG

    Leon Draisaitl100%, Kasperi Kapanen15%, Connor McDavid100%

    Matchup factors →
  9. #9MINPP1vs DAL0.48 xG

    Mats Zuccarello47%, Joel Eriksson Ek80%, Kirill Kaprizov98%, Quinn Hughes100%, Matt Boldy100%

    Matchup factors →
  10. #10MINL1vs DAL0.39 xG

    Marcus Johansson0.6%, Joel Eriksson Ek80%, Matt Boldy100%

    Matchup factors →

By game

OTT @ CAR

PHI @ PIT

MIN @ DAL

ANA @ EDM

PHI @ CAR

No recent line data for this game.

How it works

  1. Lines and PP1 come from each team's last three games of shift data: the forward trio with the most 5-on-5 time together, and the power-play five with the most time together.
  2. Unit strength is expected goals for per 60 minutes, recent games plus the season, shrunk toward league average so a hot two-game sample does not dominate.
  3. Matchup: the opponent's 5-on-5 expected goals against per 60 (for lines) or its penalty-kill rate and shorthanded minutes (for PP1), relative to the league.
  4. Goalie: the likely opposing starter from our goalie start model, weighted by probability, with his save % shrunk toward league average; shot-class save % when available.
  5. Stack score = rate × minutes × P(unit intact) × matchup × goalie, in expected goals for tonight, so lines and power plays rank on one scale.

Methodology: How we detect lines · Expected goals · Goalie shot classes · Goalie start model

Frequently asked questions

What is a stack in fantasy hockey?

A stack is a group of teammates who play together, usually a forward line or the first power-play unit, so one goal pays several of your players at once. It is the main strategy in daily fantasy hockey.

How are stacks ranked?

Each unit gets an expected-goals number for tonight: how many chances it creates per 60 minutes (recent games plus season, shrunk toward league average), how many minutes it plays, how likely it is to stay together, how leaky the opponent is at 5-on-5 or shorthanded, and how good the likely opposing goalie is.

Where do the lines come from?

From the NHL shift charts of each team's last three games: the three forwards who share the most 5-on-5 ice time form a line, and the five skaters with the most power-play time together form PP1.

Why does it say "shot-based"?

While a season is being reprocessed with our expected-goals model, unit rates fall back to shots on goal times a league-average 0.075 xG per shot. The ranking logic is the same.